poll-the-people/customgpt-mcp

Overview

Open source Python server that implements the Model Context Protocol (MCP) for CustomGPT.ai. It lets developers expose CustomGPT.ai agents as MCP endpoints for integration with MCP-compatible clients.

Best for

Best for
Developers integrating CustomGPT.ai into MCP-based workflows.

Use cases

• Expose CustomGPT.ai agents as MCP tools for agentic workflows.
• Connect CustomGPT.ai with MCP-compatible IDEs or assistants.
• Build custom integrations that invoke CustomGPT.ai through the MCP protocol.

How to use

Install

pip install -r requirements.txt

Tools exposed

• list_agents
• get_agent
• create_agent
• send_message
• list_conversations
• list_pages
• get_agent_stats
• get_agent_settings
• search_api_documentation
• get_api_endpoint_details
• validate_api_key

Tested with

Claude Code, Claude Web

Example client config

{\n  "mcpServers": {\n    "customgpt": {\n      "command": "python",\n      "args": ["/path/to/customgpt-mcp/server.py"],\n      "env": {\n        "PYTHONPATH": "/path/to/customgpt-mcp"\n      }\n    }\n  }\n}

Notes

Open source Python server that implements the Model Context Protocol (MCP) for CustomGPT.ai. It lets developers expose CustomGPT.ai agents as MCP endpoints for integration with MCP-compatible clients.

3 stars on GitHub. Last updated 2025-10-21. Licensed MIT.

Use cases

• Expose CustomGPT.ai agents as MCP tools for agentic workflows.
• Connect CustomGPT.ai with MCP-compatible IDEs or assistants.
• Build custom integrations that invoke CustomGPT.ai through the MCP protocol.

Pros

• Open source with no licensing costs.
• Simple Python codebase for easy customization.
• Lightweight dependency footprint.

Cons

• Very low community adoption (3 GitHub stars).
• Limited documentation and usage examples.
• May lack ongoing maintenance or advanced features.

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.